Sr Staff QA Engineer

Our Mission

At Palo Alto Networks® everything starts and ends with our mission:

Being the cybersecurity partner of choice, protecting our digital way of life.
Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.

Who We Are

We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included.

As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few!

At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision.

Your Career

Palo Alto Networks is  seeking a Sr Staff QA Engineer to join our growing team. In this role, you will develop and enhance advanced tools and platforms that ensure the long-term reliability and performance of our systems. You'll work cross-functionally to automate processes, analyze field data, and support real-time diagnostics and predictive capabilities, driving improvements in system resilience and customer satisfaction.

Your Impact

• Conduct machine learning-based predictive failure analysis.
• Design and implement real-time reliability and quality dashboards.
• Develop automated test processes to validate system robustness and integrity.
• Create reliability failure diagnostic tools for root cause analysis and proactive monitoring.
• Build and maintain an automated, cloud-based FMEA (Failure Mode and Effects Analysis) platform.
• Support field data analysis to identify emerging issues and reliability trends.
• Design and manage data pipelines for reliability and quality insights.
• Assist in software FMEA activities and conduct fault insertion tests to evaluate system behavior.
• Develop customized reliability profiles for key customer applications.
• Support system fault management verification and perform alarm analysis.
• Create field monitoring and reporting infrastructure for live reliability feedback.
• Build a virtual failure analysis platform for remote diagnostics and simulation.
• Develop and manage a FRU (Field Replaceable Unit) and component failure rate database.

Experience  

• Strong programming and scripting experience, including Python, Java, and JavaScript.
• Demonstrated data analysis skills and ability to draw actionable insights from large datasets.
• Proven experience with automation tools and testing frameworks.
• Experience in reliability and automation architecture design.
• Background in designing and developing new reliability-focused software applications.

Qualifications

• Bachelor’s or Master’s degree in Computer Engineering or a related field.
• 5+ years in Device Platform / Embedded quality assurance for networking products as a data analyst 
• Familiarity with cloud platforms such as AWS and scalable cloud-based applications.
• Solid understanding of reliability engineering principles and FMEA methodology.
• Strong analytical and problem-solving skills with attention to detail.
• Effective communication and interpersonal skills.
• Ability to work independently and as part of a collaborative team.

The Team

Our Manufacturing team has extensive business and project-management experience in the contract manufacturing industry. This team has a dedication to, and a consistent track record of, success in all aspects of supply-chain and project management.

Our Manufacturing team leadership establishes clear objectives, defining and implementing profit improvement and profiling inventory management, valuation, and lead-time improvement programs. If you have a passion for and knowledge and experience with extensive end-to-end manufacturing and supply chain, we want you!

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

Our Commitment

We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at  [email protected].

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.

All your information will be kept confidential according to EEO guidelines.